Last.fm
Spotify
Deezer
Pandora
SoundCloud
Apple Music
TIDAL
Grooveshark
Memgraph
neo4j
ArangoDB
FalkorDB
RedisGraph
NetworkX
TigerGraph DB
Payload CMS
Memgraph is a streaming graph application platform that helps you wrangle your streaming data, build sophisticated models that you can query in real-time, and develop applications you never thought possible in days, not months.
Memgraph directly connects to your streaming infrastructure, so you and your team don’t spend countless hours building and maintaining complex data pipelines. You can ingest data from sources like Kafka, SQL, or plain CSV files. Memgraph provides a standard interface to query your data with Cypher, a widely-used and declarative query language that is easy to write, understand and optimize for performance. This is achieved by using the property graph data model, which stores data in terms of objects, their attributes, and the relationships that connect them. This is a natural and effective way to model many real-world problems without relying on complex SQL schemas.
Memgraph is implemented in C/C++ and leverages an in-memory first architecture to ensure that you’re getting the best possible performance consistently and without surprises. It’s also ACID-compliant and highly available.
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The product is very robust and easy to use. I highly recommend it to anyone who needs to analyze streaming data in real-time.
Based on our record, Last.fm seems to be a lot more popular than Memgraph. While we know about 2621 links to Last.fm, we've tracked only 21 mentions of Memgraph. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I switched to https://qobuz.com, mainly for the high audio quality (it goes up to 192kHz 24bit, which is worth it for me as I have the necessary equipment to make use of this), but it also supports "Spotify quality" i.e. Mp3 quality/320 kbps, but I stayed for the experience. It does not really have an algorithm, there is one playlist "My weekly Q", which updates each week with songs that you could like. The only... - Source: Hacker News / 4 months ago
Hi, anyone remember that song? I remember I downloaded it from ares and I liked it but unfortunately it wasn't by mr bungle, it was just mislabelled (like the toxic cover). If anyone has it around I would like to hear it again! On last.fm it comes up as some people listen to it from time to time. Any info you have, or the original artist, I'd appreciate it. From what I remember it sounded like a demo and just said... Source: 6 months ago
Try last.fm, great website for recommending music. Those one's you suggested are a bit more jazzy than I usually listen to but maybe try What's Goin' On - Marvin Gaye. Talking Book, or Songs in the Key of Life - Stevie Wonder. Couple of my favorites. Source: 6 months ago
Average last.fm comment section to be fair. Source: 6 months ago
However, I can fully enjoy my last.fm subscription with Tidal thanks to the integrated scrobbler. I could with AM too but it would be necessary to download (and buy) two different scrobblers : one for iOS and one for macOS. Then, I feel like Tidal has more interesting recommendations, especially when we talk about lesser-known artists. Tidal Rising allows for nice discoveries while AM is much more focused on music... Source: 6 months ago
Memgraph | Staff C++ Database Engineer | REMOTE (Central/Western Europe, LatAm, or North America) https://memgraph.com/ Memgraph is a Seed stage, open source graph database vendor. Graph DBs are a great solution for GenAI, logistics, cybersecurity and fintech so we are looking to grow aggressively this year. We're looking for a staff-level engineer to set technical direction, mentor junior team members, and solve... - Source: Hacker News / 4 months ago
Relational databases have a much longer history of development, and much more engineering time has went into designing RDBMS. It is not a surprise that they are mature on more levels. By looking at the age of a product, you can get a sense of how mature RDBMS systems are compared to most GraphDB projects. Horizontal scaling is hard in GraphDBs due to the nature of how the graph is structured and how you interact... - Source: Hacker News / 7 months ago
NoSQL databases are non-relational databases with flexible schema designed for high performance at a massive scale. Unlike traditional relational databases, which use tables and predefined schemas, NoSQL databases use a variety of data models. There are 4 main types of NoSQL databases - document, graph, key-value, and column-oriented databases. NoSQL databases generally are well-suited for unstructured data,... - Source: dev.to / 11 months ago
Whether it's about identifying similar user profiles in a social network, detecting similar patterns in a communication network, or classifying nodes in a semantic network, cosine similarity contributes valuable insights. Combined with a powerful graph database system, such as Memgraph, it gives a better understanding of complex networks. Memgraph is an open-source in-memory graph database built to handle... - Source: dev.to / about 1 year ago
Take a look at this blog post about choosing the optimal index. It focuses on Memgraph graph database but it offers a theoretical background that is not vendor related. Source: about 1 year ago
Spotify - Map shows when two people play same song at same time
neo4j - Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.
Deezer - Deezer is a music streaming app created in France. It is available in 180 counties and gets 16 million users a month. 6 million of the users have paid subscriptions. Read more about Deezer.
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
Pandora - Pandora Radio is a free (ad-supported) internet radio founded in 2000.
FalkorDB - Explore FalkorDB, the premier knowledge graph database tailor-made for GenAI applications. Unlock the power of structured data for advanced AI insights.